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The substantial booms and busts in agricultural prices marked by extreme events across commodities lead to heated debates about the effects of speculative trading on commodity price fluctuations. This study proposes a new approach to understanding extreme events and boom-bust processes in agricultural markets. Using weekly futures data for twelve indexed agricultural commodities during 2006 to 2016, we find that extreme price changes, located in the 10% tails of the distribution, cluster across agricultural markets. We then implement a multinomial logit model to investigate which factors are associated with the propagation of extreme events. Specifically, we disentangle three transmission conduits. (1) The macroeconomic conduit captures the possibility that the synchronized extreme price events are generated by business-cycle driven demand shifts mainly in emerging economies. (2) The financial conduit refers to potential links between extreme returns and the increasing flow of money from financial participants into agricultural futures markets. (3) Finally, the energy conduit accounts for possible spillover effects due to oil price shocks. Our results indicate an important role of managed money positions and oil prices while the real demand channel remains mostly insignificant. (C) 2017 Elsevier Ltd. All rights reserved.
This article contributes to the debate on the incorporation of performance information in European local government budgets. At the core is the development of an analytical model for comparing efforts of performance budgeting (PB). Evidence in ten cases indicates that performance structures and the span of performance differ, that performance indicators are far from always measuring outcomes or outputs, and that future and past performance figures are often absent. Nevertheless similar learning trajectories do exist. Possible explanations for the variation involve the varying degrees of reform implementation, experience with PB and prevailing institutional arrangements.
In many European countries, labor markets are characterized by high regional disparities in terms of unemployment rates on the one hand and low geographical mobility among the unemployed on the other hand. In order to counteract the geographical mismatch of workers, the German active labor market policy offers a subsidy covering moving costs to incentivize unemployed job seekers to search/accept jobs in distant regions. Based on administrative data, this study provides the first empirical evidence on the impact of this subsidy on participants' prospective labor market outcomes. We use an instrumental variable approach to take endogenous selection based on observed and unobserved characteristics into account when estimating causal treatment effects. We find that unemployed job seekers who participate in the subsidy program and move to a distant region receive higher wages and find more stable jobs compared to non-participants. We show that the positive effects are (to a large extent) the consequence of a better job match due to the increased search radius of participants.
Wie hängen Vertrauen, Konsumeinstellungen und Verhalten bezüglich Fairtrade zusammen?
Dies ist die grundlegende Frage, mit der sich diese Arbeit beschäftigt. Lea Dirkwinkel analysiert die Fragestellung am Beispiel des Fairtrade-Labels, das als Symbol für das Produktzertifizierungssystem von Fairtrade International steht und das bekannteste Beispiel der Fairtrade-Bewegung darstellt.
Die Forschungsfrage wird einerseits zurückgeführt auf die Tatsache, dass die Qualität von Fairtrade-Gütern durch Konsumenten nicht erfasst werden kann, und andererseits durch die sogenannte Einstellungs-Verhaltens-Lücke begründet. Die Einstellungs-Verhaltens-Lücke beschreibt die kognitive Dissonanz zwischen positiven ethischen Einstellungen und Kaufintentionen sowie dem tatsächlichen Kaufverhalten und widerspricht traditionellen Einstellungs-Verhaltens-Modellen, die besagen, dass die Einstellung das Verhalten von Menschen bestimmt. Beide zuvor genannten Aspekte begründen in der Marketingtheorie die Relevanz von Vertrauen für den Konsum von Fairtrade-Produkten, aber auch anderen nachhaltigen Gütern.
Die Analyse basiert auf einer Online-Datenerhebung und erfolgte anhand der Kombination aus Conjoint Analyse und Strukturgleichungsanalyse. Die innovative methodische Vorgehensweise lieferte sowohl für die Marketingforschung als auch für die Praxis relevante Ergebnisse. Zum einem wird die wichtige Rolle von Vertrauen für den Fairtrade-Konsum bestätigt; zum anderen erklärt die Arbeit, wie sich Fairtrade-Vertrauen auswirkt. Das Vertrauen in das Fairtrade-Label stellt den Ausgangspunkt für Vertrauensbeziehungen zwischen Fairtrade und den Konsumenten dar und wird auf die zertifizierten Produkte übertragen.
Empfehlungen, die sich daraus ergeben, konzentrieren sich auf Maßnahmen, die das Vertrauen in Fairtrade-Labels stärken, z.B. durch die Reduzierung der Anzahl verschiedener Labels oder die verstärkte Kommunikation der Unabhängigkeit von Zertifizierungsorganisationen.
Research suggests a positive link between critical thinking and creativity. However, this relationship has not been measured in an empirical study. This study aims to explore whether critical thinking can serve to enhance creativity and whether creativity positively mediates the relationship between critical thinking and business performance. In this study, we analyse these relationships within the entrepreneurial context of a web-based business start-up simulation. We examined data from 26 teams of three to four senior business students and found partial support for our hypotheses. Critical thinking positively influenced creativity, measured as the total number of unique product designs. Creativity (unique product designs) also positively mediated the link between critical thinking and performance. This effect, however, did not exist when creativity was assessed through advertisement designs. This research contributes to entrepreneurship and innovation management by demonstrating the importance of critical thinking as a basis for creativity and testing this relationship in a business start-up simulation context.
Editorial
(2017)
Price shock transmission
(2017)
This study assesses the degree of vertical price transmission along the wheat-bread value chain in Ethiopia. This is pursued by applying a vector error correction model and an impulse response analysis using monthly price data for the period 2000-2015. Our analysis considers transmission of price shocks across different market levels, including from the international and domestic wheat grain markets at the upstream to the domestic wheat bread market at the downstream of the value chain. The empirical findings indicate that significant cointegration exists across prices of the different market stages. There is a transmission from international prices to domestic prices at downstream markets, in particular to flour and bread prices. Prices at upstream markets are largely influenced by the domestic wholesale market. In general, the speed of adjustment is quite slow with a half-life of about one year for restoring the equilibrium price relationship. As price margins between the different market stages in the value chain have substantially decreased in the last 15 years, higher transmission, and thus exposure to international market shocks, can be expected in the future. The results also show that causal relationships exist between prices at different market stageswith the wholesale market identified as the key market level where prices and price expectations are formed.
Purpose:
While industrial marketers have long bundled their products and services to sell them as packages, to what extent should negotiators also rely on packaging their offers? Clearly, negotiating at a package level can tax the cognitive capacity of the involved parties at some point. Therefore, this study aims to analyze the impact of the number and type of issues that should be negotiated simultaneously to leverage the package strategy efficiently and effectively in multi-issue buyer-seller negotiations.
Design/methodology/approach:
The authors conducted and analyzed negotiation simulations with 676 students from 2 public universities.
Findings:
The authors’ results suggest that negotiating three out of six issues simultaneously is the least efficient but most effective strategy in multi-issue buyer-seller negotiations. Moreover, they found that bundling distributive and integrative issues is more efficient and effective than only bundling distributive or integrative negotiation issues in a package offer.
Originality/value:
Past research has examined the impact of negotiating a package as compared to each issue separately; however, little empirical attention has been directed toward understanding how to apply a package strategy in complex multi-issue negotiations.
Several scholars concerned with global policy-making have recently pointed to a reconfiguration of authority in the area of climate politics. They have shown that various new carbon governance arrangements have emerged, which operate simultaneously at different governmental levels. However, despite the numerous descriptions and mapping exercises of these governance arrangements, we have little systematic knowledge on their workings within national jurisdictions, let alone about their impact on public-administrative systems in developing countries. Therefore, this article opens the black box of the nation-state and explores how and to what extent two different arrangements, that is, Transnational City Networks and Reducing Emissions from Deforestation and Forest Degradation, generate changes in the distribution of public authority in nation-states and their administrations. Building upon conceptual assumptions that the former is likely to lead to more decentralized, and the latter to more centralized policy-making, we provide insights from case studies in Indonesia, South Africa, Brazil, and India. In a nutshell, our analysis underscores that Transnational City Networks strengthen climate-related actions taken by cities without ultimately decentralizing climate policy-making. On the other hand, Reducing Emissions from Deforestation and Forest Degradation tends to reinforce the competencies of central governments, but apparently does not generate a recentralization of the forestry sector at large.
Organizations increasingly use social media and especially social networking sites (SNS) to support their marketing agenda, enhance collaboration, and develop new capabilities. However, the success of SNS initiatives is largely dependent on sustainable user participation. In this study, we argue that the continuance intentions of users may be gender sensitive. To theorize and investigate gender differences in the determinants of continuance intentions, this study draws on the expectation-confirmation model, the uses and gratification theory, as well as the self-construal theory and its extensions. Our survey of 488 users shows that while both men and women are motivated by the ability to self enhance, there are some gender differences. Specifically, while women are mainly driven by relational uses, such as maintaining close ties and getting access to social information on close and distant networks, men base their continuance intentions on their ability to gain information of a general nature. Our research makes several contributions to the discourse in strategic information systems literature concerning the use of social media by individuals and organizations. Theoretically, it expands the understanding of the phenomenon of continuance intentions and specifically the role of the gender differences in its determinants. On a practical level, it delivers insights for SNS providers and marketers into how satisfaction and continuance intentions of male and female SNS users can be differentially promoted. Furthermore, as organizations increasingly rely on corporate social networks to foster collaboration and innovation, our insights deliver initial recommendations on how organizational social media initiatives can be supported with regard to gender-based differences.
This survey provides an overview of topics related to the history of economics that have been discussed within the last two years in journal articles. The survey format has been started by History of Economic Ideas last year with the survey by Giulia Bianchi (2016) and is aimed to increase the visibility of research in the history of economics. The emphasis of our survey is on the big three journals in the history of economics: the European Journal of the History of Economic Thought, the Journal of the History of Economic Thought and History of Political Economy. We also included additional journals that frequently publish articles related to the history of economics. These include, in alphabetical order, the Cambridge Journal of Economics, Contributions to Political Economy, Economic Thought, the Erasmus Journal for Philosophy and Economics, History of Economic Thought and Policy, the History of Economics Review, the Journal of Economic Literature, the Journal of Economic Methodology, the Journal of Economic Perspectives, OE conomia, Oxford Economic Papers and Research in the History of Economic Thought and Methodology.
Persistently high unemployment rates are a major threat to the social cohesion in many societies. To moderate the consequences of unemployment industrialized countries spend substantial shares of their GDP on labor market policies, while in recent years there has been a shift from passive measures, such as transfer payments, towards more activating elements which aim to promote the reintegration into the labor market. Although, there exists a wide range of evidence about the effects of traditional active labor market policies (ALMP) on participants’ subsequent labor market outcomes, a deeper understanding of the impact of these programs on the job search behavior and the interplay with long-term labor market outcomes is necessary. This allows policy makers to improve the design of labor market policies and the allocation of unemployed workers into specific programs. Moreover, previous studies have shown that many traditional ALMP programs, like public employment or training schemes, do not achieve the desired results. This underlines the importance of understanding the effect mechanisms, but also the need to develop innovative programs that are more effective. This thesis extends the existing literature with respect to several dimensions.
First, it analyzes the impact of job seekers’ beliefs about upcoming ALMPs programs on the effectiveness of realized treatments later during the unemployment spell. This provides important insights with respect to the job search process and relates potential anticipation effects (on the job seekers behavior before entering a program) to the vast literature evaluating the impact of participating in an ALMP program on subsequent outcomes. The empirical results show that training programs are more effective if the participants expect participation ex ante, while expected treatment effects are unrelated to the actual labor market outcomes of participants. A subsequent analysis of the effect mechanisms shows that job seekers who expect to participate also receive more information by their caseworker and show a higher willingness to adjust their search behavior in association with an upcoming ALMP program. The findings suggest that the effectiveness of training programs can be improved by providing more detailed information about the possibility of a future treatment early during the unemployment spell.
Second, the thesis investigates the effects of a relatively new class of programs that aim to improve the geographical mobility of unemployed workers with respect to the job search behavior, the subsequent job finding prospects and the returns to labor market mobility. To estimate the causal impact of these programs, it is exploited that local employment agencies have a degree of autonomy when deciding about the regional-specific policy mix. The findings show that the policy style of the employment agency indeed affects the job search behavior of unemployed workers. Job seekers who are assigned to agencies with higher preferences for mobility programs increase their search radius without affecting the total number of job applications. This shift of the search effort to distant regions leads to a higher probability to find a regular job and higher wages. Moreover, it is shown that participants in one of the subsidy programs who move to geographically distant region a earn significantly higher wages, end up in more stable jobs and face a higher long-run employment probability compared to non-participants.
Third, the thesis offers an empirical assessment of the unconfoundedness assumption with respect to the relevance of variables that are usually unobserved in studies evaluating ALMP programs. A unique dataset that combines administrative records and survey data allows us to observe detailed information on typical covariates, as well as usually unobserved variables including personality traits, attitudes, expectations, intergenerational information, as well as indicators about social networks and labor market flexibility. The findings show that, although our set of usually unobserved variables indeed has a significant effect on the selection into ALMP programs, the overall impact when estimating treatment effects is rather small.
Finally, the thesis also examines the importance of gender differences in reservation wages that allows assessing the importance of special ALMP programs targeting women. In particular, when including reservation wages in a wage decomposition exercise, the gender gap in realized wages becomes small and statistically insignificant. The strong connection between gender differences in reservation wages and realized wages raises the question how these differences in reservation wages are set in the first place. Since traditional covariates cannot sufficiently explain the gender gap in reservation wages, we perform subgroup analysis to better understand what the driving forces behind this gender gap are.
Culture-driven innovation
(2017)
This cumulative dissertation deals with the potential of underexplored cultural sources for innovation.
Nowadays, firms recognize an increasing demand for innovation to keep pace with an ever-growing dynamic worldwide competition. Knowledge is one of the most crucial sources and resource, while until now innovation has been foremost driven by technology. But since the last years, we have been witnessing a change from technology's role as a driver of innovation to an enabler of innovation. Innovative products and services increasingly differentiate through emotional qualities and user experience. These experiences are hard to grasp and require alignment in innovation management theory and practice.
This work cares about culture in a broader matter as a source for innovation. It investigates the requirements and fundamentals for "culture-driven innovation" by studying where and how to unlock cultural sources. The research questions are the following: What are cultural sources for knowledge and innovation? Where can one find cultural sources and how to tap into them?
The dissertation starts with an overview of its central terms and introduces cultural theories as an overarching frame to study cultural sources for innovation systematically. Here, knowledge is not understood as something an organization owns like a material resource, but it is seen as something created and taking place in practices. Such a practice theoretical lens inheres the rejection of the traditional economic depiction of the rational Homo Oeconomicus. Nevertheless, it also rejects the idea of the Homo Sociologicus about the strong impact of society and its values on individual actions. Practice theory approaches take account of both concepts by underscoring the dualism of individual (agency, micro-level) and structure (society, macro-level). Following this, organizations are no enclosed entities but embedded within their socio-cultural environment, which shapes them and is also shaped by them.
Then, the first article of this dissertation acknowledges a methodological stance of this dualism by discussing how mixed methods support an integrated approach to study the micro- and macro-level. The article focuses on networks (thus communities) as a central research unit within studies of entrepreneurship and innovation.
The second article contains a network analysis and depicts communities as central loci for cultural sources and knowledge. With data from the platform Meetup.com about events etc., the study explores which overarching communities and themes have been evolved in Berlin's start up and tech scene.
While the latter study was about where to find new cultural sources, the last article addresses how to unlock such knowledge sources. It develops the concept of a cultural absorptive capacity, that is the capability of organizations to open up towards cultural sources. Furthermore, the article points to the role of knowledge intermediaries in the early phases of knowledge acquisition. Two case studies on companies working with artists illustrate the roles of such intermediaries and how they support firms to gain knowledge from cultural sources.
Overall, this dissertation contributes to a better understanding of culture as a source for innovation from a theoretical, methodological, and practitioners' point of view. It provides basic research to unlock the potential of such new knowledge sources for companies - sources that so far have been neglected in innovation management.
Modern welfare states aim at designing unemployment insurance (UI) schemes which minimize the length of unemployment spells. A variety of institutions and incentives, which are embedded in UI schemes across OECD countries, reflect this attempt. For instance, job seekers entering UI are often provided with personal support through a caseworker. They also face the requirement to regularly submit a minimum number of job applications, which is typically enforced through benefit cuts in the case of non-compliance. Moreover, job seekers may systematically receive information on their re-employment prospects. As a consequence, UI design has become a complex task. Policy makers need to define not only the amount and duration of benefit payments, but also several other choice parameters. These include the intensity and quality of personal support through caseworkers, the level of job search requirements, the strictness of enforcement, and the information provided to unemployed individuals. Causal estimates on how these parameters affect re-employment outcomes are thus central inputs to the design of modern UI systems: how much do individual caseworkers influence the transition out of unemployment? Does the requirement of an additional job application translate into increased job finding? Do individuals behave differently when facing a strict versus mild enforcement system? And how does information on re-employment prospects influence the job search decision? This dissertation proposes four novel research designs to answer this question. Chapters one to three elaborate quasi-experimental identification strategies, which are applied to large-scale administrative data from Switzerland. They, respectively, measure how personal interactions with caseworkers (chapter one), the level of job search requirements (chapter two) and the strictness of enforcement (chapter three) affect re-employment outcomes. Chapter four proposes a structural estimation approach, based on linked survey and administrative data from Germany. It studies how over-optimism on future wage offers affects the decision to search for work, and how the provision of information changes this decision.
Ecosystem services and sustainability have become prominent concepts in international policy and research agendas. However, a common conceptual ground between these concepts is currently underdeveloped. In particular, a vision is missing on how to align ecosystem services with overarching sustainability goals. Originally, the ecosystem service concept focused on sustaining human well-being through biodiversity conservation. Nevertheless, studies within the field also consider appropriation beyond carrying capacities, and natural resource management that involves environmentally damaging inputs as ecosystem service provision. This brings the ecosystem service concept into conflict with the core goal of sustainability, i.e. achieving justice within ecological limits over the long term. Here, we link the ecosystem service concept to sustainability outcomes operationalized in terms of justice. Our framing positions sustainability as an overarching goal which can be achieved through seven key strategies: equitable (1) intergenerational and (2) intragenerational distribution, (3) interspecies distribution, (4) fair procedures, recognition and participation, (5) sufficiency, (6) efficiency, and (7) persistence. Applying these strategies has the potential to re-focus the ecosystem service concept towards the normative goal of sustainability. We identify research needs for each strategy and further discuss questions regarding operationalization of the strategies. (C) 2017 Elsevier B. V. All rights reserved.
Reaching the Sustainable Development Goals requires a fundamental socio-economic transformation accompanied by substantial investment in low-carbon infrastructure. Such a sustainability transition represents a non-marginal change, driven by behavioral factors and systemic interactions. However, typical economic models used to assess a sustainability transition focus on marginal changes around a local optimum, whichby constructionlead to negative effects. Thus, these models do not allow evaluating a sustainability transition that might have substantial positive effects. This paper examines which mechanisms need to be included in a standard computable general equilibrium model to overcome these limitations and to give a more comprehensive view of the effects of climate change mitigation. Simulation results show that, given an ambitious greenhouse gas emission constraint and a price of carbon, positive economic effects are possible if (1) technical progress results (partly) endogenously from the model and (2) a policy intervention triggering an increase of investment is introduced. Additionally, if (3) the investment behavior of firms is influenced by their sales expectations, the effects are amplified. The results provide suggestions for policy-makers, because the outcome indicates that investment-oriented climate policies can lead to more desirable outcomes in economic, social and environmental terms.
We take an error management perspective on audit quality. Drawing on 18 months of participant observations and 38 interviews conducted in a Big 4 accounting firm, we develop a multi-level model of error management. With this model, we propose how organizational structures, team procedures and practices, and individual cognitions and emotions interact to manage errors. The multi-level model of error management allows us to conceptually integrate previous behavioral and social research on audit quality, contributes to the rising accounting firm error management literature, and explains how and why two general approaches from the broader error management literature to errors that are usually considered as opposing each other, i.e., error prevention and error resilience, may interact and actually entail each other in accounting firms.
Based on large representative German household survey data, we compare incomes of the self-employed with those of paid employees. We find that the entrepreneurial income gap is largest for those holding a tertiary degree, but in two directions: positive for employers (self-employed with further employees) and negative for solo entrepreneurs. Entrepreneurs holding a tertiary degree also face the greatest income variation. However, some solo self-employed earn more than their employed counterparts, in particular those with a university entrance degree as the highest level of education.
The present work will introduce a Finite State Machine (FSM) that processes any Collatz Sequence; further, we will endeavor to investigate its behavior in relationship to transformations of a special infinite input. Moreover, we will prove that the machine’s word transformation is equivalent to the standard Collatz number transformation and subsequently discuss the possibilities for use of this approach at solving similar problems. The benefit of this approach is that the investigation of the word transformation performed by the Finite State Machine is less complicated than the traditional number-theoretical transformation.